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            <h2><i class="iconfont icon-monitor"></i><a href="price_monitor.html">价格监测</a><i class="iconfont icon-arrowright"></i></h2>
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                <li><a href="#price_monitor_实时监测">实时监测</a></li>
                <li><a href="#price_monitor_涨跌幅排名">涨跌幅排名</a></li>
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    <div id="price_conduction_地区性" class="section related">
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            <h3 class="pub-title">地区性</h3>
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                    <li class="active" data-areaid='1'>主产区</li>
                    <li data-areaid='2'>主销区</li>
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                            <p>基于向量自回归（VAR）模型对某销地和多产地苹果批发n天平均价格进行分析，通过脉冲响应函数分析和方差分解，得到产地对销地价格的贡献度以及价格传导的时滞性。</p>
							<p class='help-title'>（1）计算思路：</p>
							<p>通过对各个产地和销地进行单位根（平稳性）检验来确定苹果价格序列是否稳定，然后进行协整检验来确定这些价格序列间是否具有长期稳定关系，再通过格兰杰因果检验来每个产地的价格序列能多大程度地解释销地的价格序列，进而得到产地价格与销地价格之间的因果关系。再使用脉冲响应分析来得到产地苹果价格对某销地苹果价格的传递效用时滞性，用方差分解来确定产地价格对销地价格影响的程度，即所谓贡献度。</p>
							<p class='help-title'>（2）图表解读：</p>
							<p>贡献度：产地价格变化对于销地价格变化的影响程度，如山东>北京贡献度：43%，表示北京价格的变化43%是由山东价格的变化引起的。</p>
							<p class='help-title'>（3）数据来源：</p>
							<p>农业部</p>
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            <span class="map-region">山东</span><span>苹果贡献度分析</span>
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            <h3 class="pub-title">时滞性</h3>
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                    <button><i class="iconfont icon-wenhao"></i></button>
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                            <p>基于向量自回归（VAR）模型对某销地和多产地苹果批发n天平均价格进行分析，通过脉冲响应函数分析和方差分解，得到产地对销地价格的贡献度以及价格传导的时滞性。</p>
							<p class='help-title'>（1）计算思路：</p>
							<p>通过对各个产地和销地进行单位根（平稳性）检验来确定苹果价格序列是否稳定，然后进行协整检验来确定这些价格序列间是否具有长期稳定关系，再通过格兰杰因果检验来每个产地的价格序列能多大程度地解释销地的价格序列，进而得到产地价格与销地价格之间的因果关系。再使用脉冲响应分析来得到产地苹果价格对某销地苹果价格的传递效用时滞性，用方差分解来确定产地价格对销地价格影响的程度，即所谓贡献度。</p>
							<p class='help-title'>（2）图表解读：</p>
							<p>价格传导滞后时间：产地价格的变动传导到销地所需要的时间。</p>
							<p class='help-title'>（3）数据来源：</p>
							<p>农业部</p>
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                <span class="which-area">产区： </span>
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                        <li>陕西</li>
                        <li data-areaid='554555'>山东</li>
                        <li>黑龙江</li>
                        <li>辽宁</li>
                        <li>河北</li>
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